About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About the role</b></H2> </div><div><p style="margin:3.0pt 0.0in;text-align:justify;font-size:12.0pt;font-family:'Times New Roman', serif">Operationalise machine learning models and AI capabilities into reliable, scalable, and secure production systems that power paid risk intelligence products. </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Key responsibilities</b></H2> </div><div><p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong>ML Systems & Deployment</strong><strong> </strong></p> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Design and build scalable model training, deployment, and inference pipelines </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Deploy models into production using CI/CD, containerisation, and cloud infrastructure </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Ensure models meet performance, latency, and reliability requirements </li> </ul> <p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong> </strong></p> <p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong>MLOps & Lifecycle Management</strong><strong> </strong></p> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Implement model versioning, monitoring, and automated retraining mechanisms </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Detect and respond to model drift, data drift, and performance degradation </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Establish operational standards for AI systems </li> </ul> <p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong> </strong></p> <p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong>Collaboration with Data Science & Product</strong><strong> </strong></p> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Partner with Data Scientists to productionise and scale models </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Work with Product and Engineering teams to integrate ML into customer‑facing products </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Translate experimental work into robust production assets </li> </ul> <p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong> </strong></p> <p style="margin:0.0in;font-size:12.0pt;font-family:'Times New Roman', serif"><strong>Governance, Security & Ethics</strong><strong> </strong></p> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Ensure ML systems comply with privacy, security, and regulatory requirements </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Support explainability, auditability, and responsible AI practices </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Document models and operational decisions clearly </li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Profile – Required Skills and Knowledge</b></H2> </div><div><ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">8+ years experience in ML engineering, MLOps, or software engineering roles </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Strong software engineering skills in Python and cloud environments </li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 24.0px;font-size:12.0pt;font-family:'Times New Roman', serif">Hands‑on experience with ML platforms (MLflow, Kubeflow, SageMaker) and Kubernetes </li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Required Qualifications </b></H2> </div><div><ul style="margin-top:0.0in;margin-bottom:3.0pt"> <li style="margin:0.0in 0.0in 3.0pt 0.0px;text-align:justify;line-height:115%;font-size:11.0pt;font-family:Calibri, sans-serif">Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field </li> <li style="margin:3.0pt 0.0in 1.0E-4pt 0.0px;text-align:justify;line-height:115%;font-size:11.0pt;font-family:Calibri, sans-serif">MS in Big Data, AI or relevant fields</li> </ul></div></div></div>